June 2007 | Pingping Xie, Akiyo Yatagai, Mingyue Chen, Tadahiro Hayasaka, Yoshihiro Fukushima, Changming Liu, and Song Yang
A gauge-based daily precipitation analysis over East Asia (5°–60°N, 65°–155°E) from 1978 to 2003 is presented. The analysis uses over 2200 gauge stations and incorporates daily climatology derived from the first six harmonics of 20-year mean daily precipitation. The daily climatology is adjusted using the PRISM monthly precipitation climatology to correct for orographic effects. Gridded daily precipitation ratios are created by interpolating station values, and total daily precipitation is calculated by multiplying the daily climatology by the ratio. Cross-validation tests show high quantitative accuracy with negligible bias and a correlation coefficient of ~0.6. The analysis quality improves with higher gauge network density. The new gauge analysis shows similar patterns to other monthly gauge analyses but with more detailed structures and slightly larger magnitudes.
The East Asia gauge analysis is used to evaluate five satellite-based precipitation estimates. The results show that satellite products perform differently regionally and seasonally, with the best statistics observed in wetter regions. The study highlights the importance of gauge observations in improving the accuracy of satellite-based precipitation estimates, especially over regions with sparse gauge networks. The analysis is applied to verify the performance of satellite products, revealing their regional and seasonal dependencies. The study also discusses the need for further improvements in the daily gauge analysis to enhance gauge network density and refine algorithms to better account for orographic effects. The gauge-based analysis provides a reliable source for precipitation data, which is essential for understanding hydrometeorological processes and their long-term variations. The study emphasizes the importance of combining gauge observations with satellite data to improve the accuracy of precipitation estimates. The results show that satellite products perform better in wetter regions and have lower accuracy in arid and semiarid areas. The study concludes that the gauge-based analysis is a valuable tool for improving the accuracy of precipitation estimates and understanding regional climate patterns.A gauge-based daily precipitation analysis over East Asia (5°–60°N, 65°–155°E) from 1978 to 2003 is presented. The analysis uses over 2200 gauge stations and incorporates daily climatology derived from the first six harmonics of 20-year mean daily precipitation. The daily climatology is adjusted using the PRISM monthly precipitation climatology to correct for orographic effects. Gridded daily precipitation ratios are created by interpolating station values, and total daily precipitation is calculated by multiplying the daily climatology by the ratio. Cross-validation tests show high quantitative accuracy with negligible bias and a correlation coefficient of ~0.6. The analysis quality improves with higher gauge network density. The new gauge analysis shows similar patterns to other monthly gauge analyses but with more detailed structures and slightly larger magnitudes.
The East Asia gauge analysis is used to evaluate five satellite-based precipitation estimates. The results show that satellite products perform differently regionally and seasonally, with the best statistics observed in wetter regions. The study highlights the importance of gauge observations in improving the accuracy of satellite-based precipitation estimates, especially over regions with sparse gauge networks. The analysis is applied to verify the performance of satellite products, revealing their regional and seasonal dependencies. The study also discusses the need for further improvements in the daily gauge analysis to enhance gauge network density and refine algorithms to better account for orographic effects. The gauge-based analysis provides a reliable source for precipitation data, which is essential for understanding hydrometeorological processes and their long-term variations. The study emphasizes the importance of combining gauge observations with satellite data to improve the accuracy of precipitation estimates. The results show that satellite products perform better in wetter regions and have lower accuracy in arid and semiarid areas. The study concludes that the gauge-based analysis is a valuable tool for improving the accuracy of precipitation estimates and understanding regional climate patterns.